Palmprint feature extraction using 2-D Gabor lters
نویسندگان
چکیده
Biometric identi cation is an emerging technology that can solve security problems in our networked society. A few years ago, a new branch of biometric technology, palmprint authentication, was proposed (Pattern Recognition 32(4) (1999) 691) whereby lines and points are extracted from palms for personal identi cation. In this paper, we consider the palmprint as a piece of texture and apply texture-based feature extraction techniques to palmprint authentication. A 2-D Gabor lter is used to obtain texture information and two palmprint images are compared in terms of their hamming distance. The experimental results illustrate the e ectiveness of our method. ? 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
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Palmprint feature extraction using 2-D Gabor filters
Biometric identification is an emerging technology that can solve security problems in our networked society. A few years ago, a new branch of biometric technology, palmprint authentication, was proposed [1] whereby lines and points are extracted from palms for personal identification. In this paper, we consider the palmprint as a piece of texture and apply texture-based feature extraction te...
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